We developed a Telegram-based AI assistant for the day-to-day financial diagnosis of a small business. It collects the source figures through a dialogue, calculates core indicators and turns them into a clear management view.
FinSkan
We developed a Telegram-based AI assistant for the day-to-day financial diagnosis of a small business. It collects the source figures through a dialogue, calculates core indicators and turns them into a clear management view.

Screens from the delivered solution.
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Client task and starting point
The project needed to move users from scattered financial figures to a structured review of profit, margin, break-even point and taxes.
The result also had to remain understandable to an owner or manager without requiring them to rebuild the analysis manually each time.
What was implemented
FinSkan combines guided data collection, calculations and an AI-assisted interpretation layer in one Telegram workflow.
- Collection of key financial figures through a dialogue interface.
- Calculation of profit, margin, break-even point and taxes, including the simplified tax system.
- Identification of financial bottlenecks and preparation of practical recommendations.
- Dedicated sections for AI diagnostics, business consultation and project information.
- An MVP workflow based on user answers with a path towards a SaaS product.
How the solution works
- 01
Financial input
The user provides the figures required for the selected calculation.
- 02
Calculation and analysis
The bot calculates the confirmed indicators and structures the financial picture.
- 03
Findings and next questions
The user receives the findings and practical recommendations in a readable format.
Technical logic and integrations
Confirmed project format: a Telegram bot, AI assistant and MVP of a financial-analytics SaaS service.
Business value
The workflow shortens the route from raw figures to management questions and decisions without claiming unsupported performance metrics.
